Observer design; State and attack reconstruction; LPV systems; LMI optimization problem
Abstract :
[en] The present contribution addresses simultaneous state and actuator/sensor false-data injection attacks reconstruction for nonlinear systems. The considered actuator/sensor attacks are modeled as time-varying parameters with a multiplicative effect on the actuator input signal and the sensor output signal, respectively. Based on the sector non-linearity approach and the convex polytopic transformation, the nonlinear model is written in a Linear Parameter-Varying (LPV) form, then an observer allowing both state and attack reconstruction is designed by solving an LMI optimization problem.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
BEZZAOUCHA, Souad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
VOOS, Holger ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
Simultaneous State and False-Data Injection Attacks Reconstruction for NonLinear Systems: an LPV Approach
Publication date :
October 2019
Event name :
3rd International Conference on Automation, Control and Robots
Event place :
Prague, Czechia
Event date :
from 11-10-2019 to 13-10-2019
Audience :
International
Main work title :
International Conference on Automation, Control and Robots
